Raymond Wagner
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computational Mechanics
- Artificial Intelligence
- Co-authors
- Richard G. BaraniukRobert NowakVéronique DelouilleShu DuAlbert CohenDavid B. JohnsonHyeokho ChoiBengt Robertson
- Topics
- Image and Signal Denoising Methods (6 papers)Advanced Data Compression Techniques (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionEndocrine and Autonomic Systems
- Journals
- American Journal of Obstetrics and GynecologyErgonomicsApplied and Computational Harmonic Analysis
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Raymond Wagner
19 papers receiving 234 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 136
- Computer Vision and Pattern Recognition 109
- Electrical and Electronic Engineering 68
- Computational Mechanics 42
- Artificial Intelligence 33
Countries citing papers authored by Raymond Wagner
This map shows the geographic impact of Raymond Wagner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raymond Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Wagner more than expected).
Fields of papers citing papers by Raymond Wagner
This network shows the impact of papers produced by Raymond Wagner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raymond Wagner. The network helps show where Raymond Wagner may publish in the future.
Co-authorship network of co-authors of Raymond Wagner
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Wagner. A scholar is included among the top collaborators of Raymond Wagner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raymond Wagner. Raymond Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Wireless Technologies in Support of ISS Experimentation and Operations | 1 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 58 | |
| 11 | 11 | |
| 12 | Distributed Multiscale Data Analysis and Processing for Sensor Networks | 4 |
| 13 | 41 | |
| 14 | A Multiscale Data Representation for Distributed Sensor Networks: Proofs of Basis Characteristics and Error Bounds | 2 |
| 15 | 72 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 27 |
About Raymond Wagner
Raymond Wagner is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 19 papers that have together received 268 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Computer Vision and Pattern Recognition (109 citations) and Endocrine and Autonomic Systems (19 citations). Raymond Wagner has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Richard G. Baraniuk, Robert Nowak, Véronique Delouille, Shu Du, Albert Cohen, David B. Johnson, Hyeokho Choi, Bengt Robertson, Göran Enhörning and Eric N. C. Milne. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Ergonomics and Applied and Computational Harmonic Analysis.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.